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Published in:
2014 | OriginalPaper | Chapter
Neighborhood-Based Variable-Scale Model in Mobile Maps
Authors : Chaode Yan, Wang Guo, Jianjun Bai, Tian He
Published in: Foundations and Practical Applications of Cognitive Systems and Information Processing
Publisher: Springer Berlin Heidelberg
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Abstract
Mobile maps, which integrates mobile positioning, mobile computing, and mobile communication technologies, differ from desktop and Web maps. Due to their small sizes, maintaining good legibility in mobile maps is very challenging. The variable-scale map model can be used in mobile maps to improve their legibility. Current variable-scale models often require human expertise to select appropriate parameters or models for generating variable-scale maps. However, these models ignore the effect of uneven distribution of spatial objects in map views. In this paper, a variable-scale model based on neighborhood is proposed, which selects the user’s focus region based on the neighborhood, identifies the focus region shape and automatically selects the variable-scale range and model. The principle and algorithm are introduced and described. Finally, the proposed model is evaluated. Results of the experiment show that the new model is feasible and valid to overcome the problem mentioned above.